Each of three supermarket chains in the Denver area claims to have the lowest overall prices. As part of an investigative study on supermarket advertising, a local television station conducted a study by randomly selecting nine grocery items. Then, on the same day, an intern was sent to each of the three stores to purchase the nine items. From the receipts, the following data were recorded. Item Super Ralph's Lowblaws
1 $1.02 $1.32 $1.32
2 1.07 2.46 2.46
3 1.14 1.23 1.37
4 1.10 1.29 1.29
5 1.21 1.37 1.37
6 3.54 3.54 2.40
7 5.17 5.17 5.05
8 4.36 4.36 4.15
9 3.75 3.75 4.21
1. State the null hypothesis and the alternate hypothesis.
2. What is the decision rule for both?
3. What is your decision regarding the null hypothesis?
4. The decision for the F value (Stores) at 0.100 significance is:___.
5. The decision for the F value (Items) at 0.100 significance is:.
6. Is there a difference in the item means and in the store means?

F(n + 1) = f(n) – 8. if f(1) = 100, what is f(6)?

Cone a has a surface area of 384 ft2 and cone b has a surface area of 96 ft? . what is the ratio of their volume?

1. the manager of collins import autos believes the number of cars sold in a day (q) depends on two factors: (1) the number of hours the dealership is open (h) and (2) the number of salespersons working that day (s). after collecting data for two months (53 days), the manager estimates the following log-linear model: q 4 equation 1 a. explain, how to transform the log-linear model into linear form that can be estimated using multiple regression analysis. the computer output for the multiple regression analysis is shown below: q4 table b. how do you interpret coefficients b and c? if the dealership increases the number of salespersons by 20%, what will be the percentage increase in daily sales? c. test the overall model for statistical significance at the 5% significance level. d. what percent of the total variation in daily auto sales is explained by this equation? what could you suggest to increase this percentage? e. test the intercept for statistical significance at the 5% level of significance. if h and s both equal 0, are sales expected to be 0? explain why or why not? f. test the estimated coefficient b for statistical significance. if the dealership decreases its hours of operation by 10%, what is the expected impact on daily sales?